Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Clinical Trials01:16

Clinical Trials

11.2K
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
11.2K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

554
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
554
Data Validation01:03

Data Validation

7.2K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
7.2K
Data Validation01:15

Data Validation

3.6K
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
3.6K
Ethics in Research01:56

Ethics in Research

26.2K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
26.2K
Biostatistics: Overview01:20

Biostatistics: Overview

1.1K
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
1.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Multilevel insights into obesity, race/ethnicity, and survival in early-onset colorectal cancer in Georgia.

Cancer causes & control : CCC·2026
Same author

Fine-tuning and evaluating large language models for patient safety tasks: classification of contributing factors in incident reports.

Journal of the American Medical Informatics Association : JAMIA·2026
Same author

Designing AI tools to advance health equity in resource-constrained low- and middle-income countries.

Digital health·2026
Same author

Use of Generative Artificial Intelligence in the Management of Low Back Pain: a Scoping Review.

Journal of medical systems·2026
Same author

The Role of Explanations in AI-Generated Alerts: Qualitative Study of Clinical Views on Explainable AI in Predictive Tools.

JMIR human factors·2026
Same author

Governance for safe and responsible AI in healthcare organisations: a scoping review of frameworks.

NPJ digital medicine·2026
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

Related Experiment Video

Updated: Apr 5, 2026

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
08:01

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

5.9K

Big Data Clinical Research: Validity, Ethics, and Regulation.

E Andrew Balas1, Marlo Vernon1, Farah Magrabi2

  • 1Georgia Regents University, Augusta, GA, USA.

Studies in Health Technology and Informatics
|August 12, 2015
PubMed
Summary
This summary is machine-generated.

Barriers hinder Electronic Health Records (EHR) big data research. Simplifying access and improving data accuracy are crucial for realizing the full potential of EHRs in biomedical research.

More Related Videos

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.6K
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

16.6K

Related Experiment Videos

Last Updated: Apr 5, 2026

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
08:01

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

5.9K
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.6K
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

16.6K

Area of Science:

  • Biomedical Informatics
  • Health Services Research
  • Public Health

Background:

  • Electronic Health Records (EHR) offer significant potential for biomedical research, including clinical studies, public health initiatives, and health services research.
  • However, the full value of EHR big data for research remains largely untapped due to various limitations.

Purpose of the Study:

  • To identify the key factors limiting retrospective research using EHR big data.
  • To propose recommendations for balancing data access with data protection in EHR research.

Main Methods:

  • A comprehensive review of primary, secondary, and tertiary sources was conducted.
  • The study involved an analysis of external constraints and social influences on retrospective EHR-based research.

Main Results:

  • EHR data reflects real-world patient care but suffers from significant incompleteness and inaccuracy (4.3-86%).
  • Complex regulations and a multiplicity of controls create substantial barriers to EHR big data research.
  • Alternative health data analytics challenge traditional confidentiality frameworks.

Conclusions:

  • Simplifying information governance and research approval processes is essential.
  • Developing comprehensive regulatory policies beyond healthcare entities is needed.
  • Implementing advanced computing safeguards, such as access to aggregate data only, can address public privacy concerns and foster trust in EHR research.